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Nucleic Acid Amplification: Mie Scatter and Interfacial Tension Based Real-Time Quantification of Colloidal Emulsion Nucleic Acid Amplification (Adv. Biosys. 10/2017)

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Advanced Biosystems 2017年第10期1卷

作者： Ariana M. Nicolini Tyler D. Toth Samuel Y. Kim M. Alejandra Mandel David W. Galbraith Jeong-Yeol Yoon Biomedical Engineering Graduate Interdisciplinary Program and Department of Biomedical Engineering The University of Arizona Tucson AZ 85721 USA School of Plant Sciences The University of Arizona Tucson AZ 85721 USA

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Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

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Nature methods 2024年第10期21卷 1959页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

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Dark Excitons: Dark-Exciton-Mediated Fano Resonance from a Single Gold Nanostructure on Monolayer WS2at Room Temperature (Small 31/2019)

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Small 2019年第31期15卷

作者： Mingsong Wang Zilong Wu Alex Krasnok Tianyi Zhang Mingzu Liu He Liu Leonardo Scarabelli Jie Fang Luis M. Liz-Marzán Mauricio Terrones Andrea Alù Yuebing Zheng Department of Mechanical Engineering Texas Materials Institute The University of Texas at Austin Austin TX 78712 USA Photonics Initiative Advanced Science Research Center Physics Program Graduate Center Department of Electrical Engineering City College of the City University of New York New York NY 10031 USA Department of Materials Science and Engineering Department of Physics Department of Chemistry Center for 2-Dimensional and Layered Materials The Pennsylvania State University University Park PA 16802 USA Department of Chemistry and Biochemistry California NanoSystems Institute University of California Los Angeles Los Angeles CA 90095 USA Bionanoplasmonics Laboratory CIC biomaGUNE Paseo de Miramón 182 20014 Donostia-San Sebastián Spain Ikerbasque Basque Foundation for Science 48013 Bilbao Spain Biomedical Research Networking Center in Bioengineering Biomaterials and Nanomedicine CIBER-BBN 20014 Donostia-San Sebastián Spain

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Author Correction: The interrelation of sleep and mental and physical health is anchored in grey-matter neuroanatomy and under genetic control

Communications biology

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Communications biology 2020年第1期3卷 290页

作者： Masoud Tahmasian Fateme Samea Habibolah Khazaie Mojtaba Zarei Shahrzad Kharabian Masouleh Felix Hoffstaedter Julia Camilleri Peter Kochunov B T Thomas Yeo Simon Bodo Eickhoff Sofie Louise Valk Institute of Medical Science and Technology Shahid Beheshti University Tehran Iran. Sleep Disorders Research Center Kermanshah University of Medical Sciences Kermanshah Iran. Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich 52425 Jülich Germany. Institute of Systems Neuroscience Heinrich Heine University Düsseldorf 40225 Düsseldorf Germany. Maryland Psychiatric Research Center University of Maryland School of Medicine Baltimore MD 21201 USA. Department of Electrical and Computer Engineering Clinical Imaging Research Centre N.1 Institute for Health and Memory Networks Program National University of Singapore Singapore 119077 Singapore. Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown MA 02114 USA. Centre for Sleep and Cognition National University of Singapore Singapore 119077 Singapore. NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 119077 Singapore. Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich 52425 Jülich Germany. svalk@fz-juelich.de. Institute of Systems Neuroscience Heinrich Heine University Düsseldorf 40225 Düsseldorf Germany. svalk@fz-juelich.de.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Publisher Correction: Human single chain-transbodies that bound to domain-I of non-structural protein 5A (NS5A) of hepatitis C virus

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Scientific reports 2018年第1期8卷 6787页

作者： Kittirat Glab-Ampai Monrat Chulanetra Aijaz Ahmad Malik Thanate Juntadech Jeeraphong Thanongsaksrikul Potjanee Srimanote Kanyarat Thueng-In Nitat Sookrung Pongsri Tongtawe Wanpen Chaicumpa Graduate Program in Immunology Department of Immunology Faculty of Medicine Siriraj Hospital Mahidol University Bangkok Thailand. Center of Research Excellence on Therapeutic Proteins and Antibody Engineering Department of Parasitology Faculty of Medicine Siriraj Hospital Mahidol University Bangkok Thailand. Graduate Program in Biomedical Science Faculty of Allied Health Sciences Thammasat University Rangsit Campus Pathum-thani province 12120 Thailand. School of Pathology Institute of Medicine Suranaree University of Technology Nakhon-ratchaseema province Thailand. Center of Research Excellence on Therapeutic Proteins and Antibody Engineering Department of Parasitology Faculty of Medicine Siriraj Hospital Mahidol University Bangkok Thailand. wanpen.cha@mahidol.ac.th. Graduate Program in Biomedical Science Faculty of Allied Health Sciences Thammasat University Rangsit Campus Pathum-thani province 12120 Thailand. wanpen.cha@mahidol.ac.th.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

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P.394 Glutamatergic neurometabolite levels in patients with severe treatment-resistant schizophrenia: A cross-sectional 3t proton magnetic resonance spectroscopy study

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European Neuropsychopharmacology 2019年 29卷 S279-S280页

作者： Tarumi, R. Sakiko, T. Noda, Y. Plitman, E. Honda, S. Matsushita, K. Chavez, S. Sawada, K. Wada, M. Matsui, M. Fujii, S. Miyazaki, T. Chakravarty, M. Uchida, H. Remington, G. Graff-Guerrero, A. Mimura, M. Nakajima, S. Keio University School of Medicine Department of Neuropsychiatry Tokyo Japan Komagino Hospital Department of Psychiatry Tokyo Japan Douglas Mental Health University Institute Cerebral Imaging Centre Montreal Canada McGill University Department of Psychiatry Montreal Canada Keio University Graduate School of Media and Governance Tokyo Japan Keio University Faculty of Environment and Information Studies Tokyo Japan Centre for Addiction and Mental Health Campbell Institute Research Program Toronto Canada Kanazawa University Institute of Liberal Arts and Science Department of Clinical Cognitive Neuroscience Kanazawa Japan McGill University Department of Biomedical Engineering Montreal Canada University of Toronto Department of Psychiatry Toronto Canada

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A continuum poisson-‐boltzmann model for membrane channel proteins

arXiv

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arXiv 2017年

作者： Xiao, Li Diao, Jianxiong Greene, D'Artagnan Wang, Junmei Luo, Ray Department of Biomedical Engineering University of California IrvineCA92697 United States Department of Molecular Biology and Biochemistry University of California IrvineCA92697 United States Chemical and Materials Physics Graduate Program University of California IrvineCA92697 Department of Chemical Engineering and Materials Science University of California IrvineCA92697 United States Department of Pharmaceutical Sciences University of Pittsburg PittsburghPA15261 United States

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Mechanomyography signals in spastic muscle and the correlation with the modified Ashworth scale

Mechanomyography signals in spastic muscle and the correlati...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： E. L. Santos M. C. Santos E. Krueger G. N. Nogueira-Neto P. Nohama Biomedical Engineering at the Graduate Program in Electrical and Computer Engineering Federal Technological University of Paraná - (CPGEI-UTFPR) Curitiba/PR Brazil Biomedical Engineering at the Graduate Program in Biomedical Engineering Federal Technological University of Paraná - (PPGEB-UTFPR) Biomedical Engineering UTFPR Curitiba PR Brazil Anatomy department Londrina State University Electrical Engineering Pontifical Catholic University of Paraná (PUCPR) Curitiba PR Brazil Electrical Engineering UTFPR and PUCPR Curitiba PR Brazil

ISBN: (纸本)9781457702198

The modified Ashworth scale (MAS) is the most widely used measurement technique to assess levels of spasticity. In MAS, the evaluator graduates spasticity considering his/her subjective analysis of the muscular endurance during passive stretching. Therefore, it is a subjective scale. Mechanomyography (MMG) allows registering the vibrations generated by muscle contraction and stretching events that propagate through the tissue until the surface of the skin. With this in mind, this study aimed to investigate possible correlations between MMG signal and muscle spasticity levels determined by MAS. We evaluated 34 limbs considered spastic by MAS, including upper and lower limbs of 22 individuals of both sexes. Simultaneously, the MMG signals of the spastic muscle group (agonists) were acquired. The features investigated involved, in the time domain, the median energy (MMGME) of the MMG Z-axis (perpendicular to the muscle fibers) and, in the frequency domain, the median frequency (MMG mf ). The Kruskal-Wallis test (pme. There was a high linear correlation between the MMG me and MAS (R 2 =0.9557) and also a high correlation as indicated by Spearman test (ρ=0.9856; pmf did not present significant differences between MAS spasticity levels. There was moderate linear correlation between MAS and MMG mf (R 2 =0.4883 and Spearman test [ρ = 0.4590; p

关键词： Muscles Correlation Skin Spectral analysis biomedical engineering Elbow Vibrations

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Augmented Reality Based Brain Tumor 3D Visualization

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Procedia Computer Science 2017年 113卷 400-407页

作者： Qian Shan Thomas E. Doyle Reza Samavi Mona Al-Rei Department of Computing and Software McMaster University 1280 Main St. W Hamilton ON L8S 4L8 Canada Department of Electrical and Computer Engineering School of Biomedical Engineering McMaster University 1280 Main St. W Hamilton ON L8S 4L8 Canada eHealth Graduate Program McMaster University 1280 Main St. W Hamilton ON L8S 4L8 Canada

In this paper we present an augmented reality system for mobile devices that facilitates 3D brain tumor visualization in real time. The system uses facial features to track the subject in the scene. The system performs camera calibration based on the face size of the subject, instead of the common approach of using a number of chessboard images to calibrate the camera every time the application is installed on a new device. Camera 3D pose estimation is performed by finding its position and orientation based on a set of 3D points and their corresponding 2D projections. According to the estimated camera pose, a reconstructed brain tumor model is displayed at the same location as the subject’s real anatomy. The results of our experiment show the system was successful in performing the brain tumor augmentation in real time with a reprojection accuracy of 97%.

关键词： Augmented reality 3D visualization Tumor visualization Markerless tracking Mobile device

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An Automated Approach for Identifying Geometric Distortions in Gamma Cameras

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MEDICAL PHYSICS 2016年第6期43卷 3773-3774页

作者： Mann, S. Nelson, J. Samei, E. Clinical Imaging Physics Group and Carl E. Ravin Advanced Imaging Laboratories Department of Radiology Duke University Medical Center Durham North Carolina 27705 and Medical Physics Graduate Program Duke University Durham North Carolina 27705 Clinical Imaging Physics Group and Carl E. Ravin Advanced Imaging Laboratories Department of Radiology Duke University Medical Center Durham North Carolina 27705 and Departments of Physics Electrical and Computer Engineering and Biomedical Engineering and Medical Physics Graduate Program Duke University Durham North Carolina 27705

Purpose: To develop a clinically-deployable, automated process for detecting artifacts in routine nuclear medicine (NM) quality assurance (QA) bar phantom images. Methods: An artifact detection algorithm was created to analyze bar phantom images as part of an ongoing QA program. A low noise, high resolution reference image was acquired from an x-ray of the bar phantom with a Philips Digital Diagnost system utilizing image stitching. NM bar images, acquired for 5 million counts over a 512×512 matrix, were registered to the template image by maximizing mutual information (MI). The MI index was used as an initial test for artifacts; low values indicate an overall presence of distortions regardless of their spatial location. Images with low MI scores were further analyzed for bar linearity, periodicity, alignment, and compression to locate differences with respect to the template. Findings from each test were spatially correlated and locations failing multiple tests were flagged as potential artifacts requiring additional visual analysis. The algorithm was initially deployed for GE Discovery 670 and Infinia Hawkeye gamma cameras. Results: The algorithm successfully identified clinically relevant artifacts from both systems previously unnoticed by technologists performing the QA. Average MI indices for artifact-free images are 0.55. Images with MI indices < 0.50 have shown 100% sensitivity and specificity for artifact detection when compared with a thorough visual analysis. Correlation of geometric tests confirms the ability to spatially locate the most likely image regions containing an artifact regardless of initial phantom orientation. Conclusion: The algorithm shows the potential to detect gamma camera artifacts that may be missed by routine technologist inspections. Detection and subsequent correction of artifacts ensures maximum image quality and may help to identify failing hardware before it impacts clinical workflow. Going forward, the algorithm is being deploye

关键词： Medical X-ray imaging Medical image artifacts Cameras Image analysis Nuclear medicine imaging Spatial analysis Quality assurance Medical image noise

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